code: def get_normalized_probs(self, net_output, log_probs, sample=None):
      lprobs = super().get_normalized_probs(
          net_output, log_probs, sample
      )
      lprobs.batch_first = False
      return lprobs
  
file_path: fairseq/examples/speech_recognition/models/w2l_conv_glu_enc.py
imports: import math
  import torch
  import torch.nn
  import torch.nn.functional
  from fairseq.models import FairseqEncoder, FairseqEncoderModel, register_model, register_model_architecture
  from fairseq.modules.fairseq_dropout import FairseqDropout
label_desc: Use image node_id 4 for calling the W2lConvGluEncoderModel obj's underlying member method code with example usage: obj.get_normalized_probs(net_output, log_probs, sample) and returns: lprobs